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collapse issues when training

Open gengyuanmax opened this issue 4 years ago • 3 comments

Hi,

I try to train my model without superpixel planar regularization. But it's likely that the training collapses and the output is all-zero. Have you faced and managed to solve this problem?

Thanks in advance.

gengyuanmax avatar Jan 18 '21 11:01 gengyuanmax

@GengyuanMax

Sorry for the late reply. Could you describe your training setting (e.g. which datasets) in more details?

niujinshuchong avatar Jan 29 '21 08:01 niujinshuchong

Hi, I encounter the same problem. When I set the weights of lambda_planar_reg term as 0.05, the framework can derive plausible results. However, when I simply modify 0.05 to 0, the training collapses and the depth predictions seem to be all-zero.

ShuweiShao avatar Jun 04 '21 15:06 ShuweiShao

It should be noted that, the dataset I used is of endoscopic scenes. In theory, the framework should work better when remove the planar regularization

ShuweiShao avatar Jun 04 '21 15:06 ShuweiShao